We make software fast and small, so you can focus on what you do best.

Maximizing AI Hardware Utilization

Leveraging hardware more effectively offers substantial potential for enhancing performance. At Efficientware, we’ve observed a striking disparity in efficiency: even top-tier NVIDIA H200 GPUs, commonly assumed to run at full capacity, usually achieve only 40% of their theoretical peak performance in practical AI applications.

40%

Current Utilization
The typical average usage of high-performance GPUs, such as the NVIDIA H200, in real-world AI tasks before any optimizations are applied.

80%

Utilization after Optimization
After applying Efficientware’s optimizations at the node level, a typical utilization value reaches 80%.

2x

Performance Gain
With this significant increase in utilization, we discovered an opportunity for a customer to reduce their hardware costs by half.

Efficientware specializes in enhancing software efficiency by targeting key performance indicators such as throughput, latency, and memory bandwidth usage. Our methods seamlessly complement conventional AI model optimization techniques. AI specialists significantly contribute to the broader optimization process through model architecture, pruning, training, and quantization. Meanwhile, we guarantee that these optimized models fully leverage your hardware capabilities, leading to a substantial performance boost for your already refined model.

Risk-Free Engagement Model

We recognize the doubts that often arise with optimization assertions. To address this, we’ve designed our business model to focus on proven outcomes. With our success-dependent pricing, payment is only required when there are measurable enhancements in your production environment. This model ensures that our goals are in sync with your performance targets, removing any financial risk and providing significant returns on your current hardware investments.

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Testimonials

I worked with Christian and his team in our self-driving car project with Daimler, where they did a great job optimizing the code for maximum performance – often by more than a factor of 10. They realized this high factor by analyzing the software to identify overheads, redundancies and inefficiencies and used their deep understanding of math, algorithms and hardware to improve the implementation and architecture as needed. With this approach, they helped over 500 developers to fit all their features to the available hardware, and I am looking forward to working with them again!
Dr.-Ing. Karsten Haug Main Department Head Autonomous Driving, Bosch
My team and I worked together with the founders of Efficientware to optimize several radar- and video-based driver assistance systems at Bosch. Not only did they bring in their world-class software optimization skills. They really did an awesome job at simplifying overly complicated structures and reducing unnecessary bloat. Not only did this lead to efficient systems but also to designs that are simpler and easier to understand. After all, a clean system also performs better. In addition, they trained the developers towards a deeper technical understanding, DOs and DON’Ts, and a general performance mindset, which is a great asset for the future even after our collaboration.
Dr. Andreas Brodt
Dr. Andreas BrodtTeam Lead Software Performance Optimization, Bosch

Timeline of Efficientware

October 2017

Optimization Team founded

The future members of Efficientware start coming together at the joint Bosch and Daimler Athena project dedicated to develop autonomous cars.

October 2017
January 2018

Self-driving Car Project

Optimized software of ca. 1000 developers to fit on self-driving car.

January 2018
February 2020

Automotive Series Project

Optimized ca. 20 diverse applications in radar, video, base software and other domains.

February 2020
November 2024

Efficientware founded

Our Team formally leaves Bosch and starts Efficientware.

November 2024